Machine Learning

Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

Madison Milne-Ives, Lorna K Fraser, Asiya Khan, David Walker, Michelle Helena van Velthoven, Jon May, Ingrid Wolfe, Tracey Harding, Edward Meinert

JMIR Res Protoc 2022 (May 26); 11(5):e35738

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Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method

Chengyi Zheng, Jonathan Duffy, In-Lu Amy Liu, Lina S Sy, Ronald A Navarro, Sunhea S Kim, Denison S Ryan, Wansu Chen, Lei Qian, Cheryl Mercado, Steven J Jacobsen

JMIR Public Health Surveill 2022 (May 24); 8(5):e30426

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One Hundred Years of Hypertension Research: Topic Modeling Study

Mustapha Abba, Chidozie Nduka, Seun Anjorin, Shukri Mohamed, Emmanuel Agogo, Olalekan Uthman

JMIR Form Res 2022 (May 18); 6(5):e31292

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Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review

Yaguang Zheng, Victoria Vaughan Dickson, Saul Blecker, Jason M Ng, Brynne Campbell Rice, Gail D’Eramo Melkus, Liat Shenkar, Marie Claire R Mortejo, Stephen B Johnson

JMIR Diabetes 2022 (May 16); 7(2):e34681

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Factors Influencing Clinician Trust in Predictive Clinical Decision Support Systems for In-Hospital Deterioration: Qualitative Descriptive Study

Jessica M Schwartz, Maureen George, Sarah Collins Rossetti, Patricia C Dykes, Simon R Minshall, Eugene Lucas, Kenrick D Cato

JMIR Hum Factors 2022 (May 12); 9(2):e33960

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Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Osung Kwon, Wonjun Na, Heejun Kang, Tae Joon Jun, Jihoon Kweon, Gyung-Min Park, YongHyun Cho, Cinyoung Hur, Jungwoo Chae, Do-Yoon Kang, Pil Hyung Lee, Jung-Min Ahn, Duk-Woo Park, Soo-Jin Kang, Seung-Whan Lee, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park, Dong Hyun Yang, Young-Hak Kim

JMIR Med Inform 2022 (May 11); 10(5):e26801

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Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation

Pei-Fu Chen, Lichin Chen, Yow-Kuan Lin, Guo-Hung Li, Feipei Lai, Cheng-Wei Lu, Chi-Yu Yang, Kuan-Chih Chen, Tzu-Yu Lin

JMIR Med Inform 2022 (May 10); 10(5):e38241

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Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study

Ela Bandari, Tomas Beuzen, Lara Habashy, Javairia Raza, Xudong Yang, Jordanna Kapeluto, Graydon Meneilly, Kenneth Madden

JMIR Form Res 2022 (May 06); 6(5):e34830

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Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018

Pasi Fränti, Sami Sieranoja, Katja Wikström, Tiina Laatikainen

JMIR Med Inform 2022 (May 04); 10(5):e35422

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Impact of a Machine Learning–Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices

Willem Ernst Herter, Janine Khuc, Giovanni Cinà, Bart J Knottnerus, Mattijs E Numans, Maryse A Wiewel, Tobias N Bonten, Daan P de Bruin, Thamar van Esch, Niels H Chavannes, Robert A Verheij

JMIR Med Inform 2022 (May 04); 10(5):e27795

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Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

Alexander Hart, Dorota Reis, Elisabeth Prestele, Nicholas C Jacobson

J Med Internet Res 2022 (Apr 28); 24(4):e34015

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Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study

Qing Xu, Matthew C Nali, Tiana McMann, Hector Godinez, Jiawei Li, Yifan He, Mingxiang Cai, Christine Lee, Christine Merenda, Richardae Araojo, Tim Ken Mackey

JMIR Infodemiology 2022 (Apr 28); 2(1):e35446

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Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Josefien Van Olmen, Jens Van Nooten, Hilde Philips, Annet Sollie, Walter Daelemans

JMIR Med Inform 2022 (Apr 27); 10(4):e37771

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Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

Danqing Hu, Shaolei Li, Huanyao Zhang, Nan Wu, Xudong Lu

JMIR Med Inform 2022 (Apr 25); 10(4):e35475

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Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study

Oliver Lindhiem, Mayank Goel, Sam Shaaban, Kristie J Mak, Prerna Chikersal, Jamie Feldman, Jordan L Harris

JMIR Form Res 2022 (Apr 25); 6(4):e35803

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Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis

Seojin Nam, Donghun Kim, Woojin Jung, Yongjun Zhu

J Med Internet Res 2022 (Apr 22); 24(4):e28114

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Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study

Yuanyuan Sun, Dongping Gao, Xifeng Shen, Meiting Li, Jiale Nan, Weining Zhang

JMIR Med Inform 2022 (Apr 21); 10(4):e35606

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Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review

Zahra Sharifi-Heris, Juho Laitala, Antti Airola, Amir M Rahmani, Miriam Bender

JMIR Med Inform 2022 (Apr 20); 10(4):e33875

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Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study

Jinwan Wang, Shuai Wang, Mark Xuefang Zhu, Tao Yang, Qingfeng Yin, Ya Hou

JMIR Med Inform 2022 (Apr 20); 10(4):e33395

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Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study

Ho Heon Kim, Youngin Kim, Andreas Michaelides, Yu Rang Park

J Med Internet Res 2022 (Apr 15); 24(4):e29380

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